Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 526 active AI roles, with 1251 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), AI Outcome Customer Engineer, Forward Deployed Engineering (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (383 roles), India (51 roles), Singapore (43 roles), Poland (26 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 599 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Product Manager II, Commerce Safety Product Manager II for Google's Commerce Safety team in Zurich, Switzerland. This role focuses on leading product strategy for detecting and disrupting fraud networks within the Google Shopping ecosystem, streamlining merchant onboarding, and designing abuse prevention strategies. The position requires experience in product management, launching technical products, and specifically working with AI/ML-powered products, risk assessment, and fraud detection. Experience with eCommerce platforms is preferred. | — | 5 |
| Senior UX Designer, Google TV Senior UX Designer for Google TV, focusing on user-centered design to create intuitive and engaging experiences for home entertainment. This role involves integrating AI into the design process, defining user interactions with TV inputs (voice, gesture, AI), and managing the design lifecycle for the TV OS. The goal is to simplify content discovery and access, leveraging Google's AI and search capabilities to deliver personalized suggestions and transform the TV experience. | — |
| 5 |
| Technical Program Manager II, AI/ML, Google Ads Technical Program Manager II for Google Ads, focusing on the Connect Sales CRM platform. This role involves partnering with engineering, product, and UX leads to define and execute roadmaps, understand underlying AI technologies, and drive complex, multi-disciplinary projects from start to finish. The position requires experience with enterprise applications and generative AI, with a focus on product development and cross-functional collaboration within the ads business. | — | 5 |
| Industry Solutions Architect Manager, Google Cloud This role is for an Industry Solutions Architect Manager at Google Cloud, leading a team to scale cloud solutions and drive customer success. The focus is on bridging pioneering AI/ML models with enterprise products, managing technical teams, and providing customer feedback to shape product direction. While the company heavily utilizes AI, this specific role is product and customer-facing, not directly building or researching AI models. | — | 5 |
| AI Sales Specialist, US North, Google Cloud This role is for an AI Sales Specialist who will focus on building and expanding customer relationships to drive AI business growth for Google Cloud. The specialist will identify AI use cases, demonstrate product functionality, and work with customers to build new products leveraging AI solutions, while also managing sales cycles and collaborating with internal teams. | — | 5 |
| Director, Customer Engineering, AI Infrastructure, Google Cloud, APAC Director of Customer Engineering for AI Infrastructure in APAC, leading a team to drive adoption of Google Cloud's AI technology and infrastructure (GPUs, TPUs) by supporting sales, working with customers, and collaborating with product management. The role involves developing strategies, presenting value propositions, identifying industry trends, and ensuring the technical and commercial competitiveness of Google Cloud AI products. | — | 5 |
| Software Engineer III, ML Networking Software Engineer III, ML Networking at Google, focusing on building and optimizing the infrastructure for scaling Large Language Models (LLMs) and other Machine Learning (ML) workloads on GPUs. The role involves analyzing and resolving networking issues, optimizing performance for ML workloads, and contributing to the full stack optimization of ML networking on Google's infrastructure. | Serve | 5 |
| Staff Software Engineer, AI and Infrastructure This role is for a Staff Software Engineer on the Borglet Infrastructure team within Google Cloud's ML, Systems, & Cloud AI (MSCA) organization. The team develops core pieces of Borglet, Google's node agent for managing user processes, focusing on ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, and Warp Space. The role involves designing, implementing, and analyzing computer systems and their interactions with kernel and hardware, collaborating with partner teams, solving ambiguous problems, developing junior engineers, and strategic planning. While the role is within an AI-focused organization and deals with AI infrastructure, the core responsibility is building and managing the underlying infrastructure (Borglet) rather than directly developing or shipping AI models themselves. The role emphasizes large-scale infrastructure and distributed systems. | — | 5 |
| AI Transformation Senior Program Manager Senior Program Manager to drive the strategy, operating model, and execution plans for complex cross-functional programs critical to the AI-driven transformation of Google Marketing. This role involves partnering with AI Lab project leads and cross-functional teams to prioritize work, align plans, deliver impact, and graduate AI Lab solutions for scaled adoption. | — | 5 |
| Engineering Analyst, Trust and Safety, Messaging This role focuses on building and maintaining anti-abuse protections for messaging products, analyzing trends, and implementing solutions to ensure user safety. It involves working with cross-functional teams, productionizing ML models, and advising on counter-abuse strategies. | — | 5 |
| Software Tech Lead, Google Photos Software Tech Lead for Google Photos, focusing on client-side, server-side, and machine intelligence aspects. The role involves building and shipping AI-powered features, particularly those leveraging Generative AI and LLMs, within a large-scale consumer product. | Ship | 5 |
| Staff Software Engineer, GCE Node Staff Software Engineer role focused on building and scaling compute infrastructure solutions for Google Cloud, specifically for AI/ML workloads, virtual machines, and bare metal solutions. The role involves innovating in virtualized storage, networking, and workload management to ensure the availability, reliability, and performance of infrastructure powering VM instances. | — | 5 |
| Senior Silicon Validation Engineer, Volume Production and Yield This role focuses on silicon validation for high-volume production and yield optimization. While it leverages AI/ML tools for data analytics and yield improvement, the core function is hardware engineering and manufacturing, not the direct development or research of AI models themselves. The role involves transitioning silicon designs into manufacturing, monitoring yield, performing failure analysis, and collaborating with cross-functional teams to ensure product quality and efficiency. | — | 5 |
| Senior GPU Software Engineer, System Software, AI Infrastructure This role focuses on building and maintaining the system software stack for GPUs, which are critical for powering AI infrastructure and services at Google. While not directly building AI models, the engineer will work on the underlying systems that enable AI computations at scale. | — | 5 |
| Data Engineer, Geo 3P and Developer Data Operations Data Engineer role focused on building and maintaining data pipelines for Google Maps, processing third-party data to develop insights and support product development. Requires experience with geographical data, ML/AI concepts, and programming languages. | — | 5 |
| Head of AI GTM, GenMedia, Google Cloud This role is focused on the Go-To-Market strategy and commercialization of Google Cloud's Generative Media AI portfolio, including models like Veo and Imagen. The Head of AI GTM will act as a bridge between product/engineering and sales teams, driving API consumption, ecosystem growth, and enterprise adoption across various customer segments. The role requires extensive experience in GTM strategy, product commercialization, and sales within cloud computing or AI, with a focus on the media, entertainment, advertising, or marketing technology sectors. | — | 5 |
| Technical Program Manager III, Gemini, Google Home Technical Program Manager III for Google Home's Gemini team, responsible for managing the software engineering schedule and product deliverables for foundational intelligence capabilities. The role involves working with stakeholders, managing project lifecycles, driving releases, and assessing feature quality. While the role utilizes AI tools and works with generative AI/LLMs, its core function is program management rather than direct AI/ML model development. | — | 5 |
| Growth Consultant, AppDev, Google Customer Solutions (English, Japanese) This role is a Growth Consultant for AppDev at Google Customer Solutions, focusing on helping app customers in Japan and APAC optimize their user acquisition strategy with Google Ads. The consultant will deliver data science/measurement consulting projects, lead client analysis, develop scripts for automation, and work with sales leadership and cross-functional teams to find new business opportunities. The role involves advising clients on marketing analytics best practices and scaling measurement impact internally. While the role mentions understanding AI principles and machine learning methodologies, its core function is sales and customer consulting, not direct AI/ML model development or research. | — | 5 |
| Mixed Signal IP Integration Engineer This role focuses on the integration of Mixed Signal IP for AI/ML hardware acceleration, specifically TPUs. The engineer will drive IP selection, planning, integration, and validation across the silicon lifecycle, working with cross-functional teams to ensure the performance and power efficiency of these accelerators. | — | 5 |
| ASIC Physical Design Tools, Flows, Methodologies Manager Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the development, deployment, and support of RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration. | — | 5 |
| Product Manager, Android Large Screen Core Apps Product Manager for Android Large Screen Core Apps, focusing on defining and driving roadmaps, building foundational experiences, and optimizing core services for large screens. The role involves utilizing generative AI for product opportunities and driving data-informed strategies for user engagement. | — | 5 |
| Senior Software Engineer, Google.org, Data Analytics Software engineer role focused on data analytics within Google.org, involving system design, technical solutions implementation, testing, and AI strategy evaluation (e.g., prompt engineering) to improve team velocity. Requires 5 years of software development experience and SQL. | — | 5 |
| Technical Program Manager III, Advanced Analytics, Google Data Center This Technical Program Manager role focuses on leading complex, multi-disciplinary projects for Google's Data Center teams, involving data ingestion, visualizations, data warehouse infrastructure, data models, and advanced analytics leveraging ML/AI. The role requires planning requirements, managing schedules, identifying risks, and communicating with cross-functional partners. While the role utilizes ML/AI for advanced analytics and predictive modeling, its core function is program management and data engineering rather than direct AI/ML model development or research. | — | 5 |
| Compliance Analyst, Google Public Sector This role focuses on modernizing compliance operations within Google Public Sector by leveraging generative AI. The Compliance Analyst will design and implement AI-driven solutions to automate workflows, streamline compliance analysis, and transform governance processes. Key responsibilities include accelerating the generation of Authorization to Operate (ATO) artifacts, enabling real-time compliance monitoring, and managing accreditation efforts. The role requires experience with Google-native AI, scripting, and automation tools, as well as a strong understanding of compliance and risk management in a regulated environment. | — | 5 |
| Tooling Policy Specialist, Legal Content Policy and Standards This role focuses on driving the strategy and execution of AI initiatives within Google's Trust and Safety team, specifically concerning tooling and content policy. The specialist will act as a bridge between policy/operations and engineering, translating needs into technical requirements and vice versa. The role involves using data to diagnose issues, prioritizing engineering resources for automation projects, and contributing to the development of AI-driven infrastructure to improve processes and user safety. While AI technologies are used and their strategy is driven, the core function is product and policy management rather than direct AI model development. | — | 5 |
| Program Manager III, Supply Chain Change Management, Google Cloud Program Manager for Google Cloud Supply Chain, focused on identifying and implementing AI use cases to improve operations. This role involves translating business needs into technical requirements, driving change management for AI solutions, and collaborating with data scientists and engineers. The position requires experience with AI/ML in supply chain contexts and understanding of generative/agentic AI. | Agent | 5 |
| Senior UX Quantitative Researcher, YouTube Senior Quantitative User Experience Researcher for YouTube, focusing on user behavior analysis through logs, surveys, and experiments to inform product roadmaps. Will use generative AI tools to enhance research impact. | — | 5 |
| Full Stack Software Engineer, FrontRow Database Observability Software Engineer role focused on building and launching high-quality features for large applications, specifically within Google Cloud's database observability service. The role involves full-stack development, partnering with product and design teams, and influencing product direction. While the product offers AI-driven experiences and the role involves integrating AI technologies, the core craft is not AI/ML model development. | — | 5 |
| Senior Board Design Engineer This role focuses on the electrical design of complex High Performance Computing (HPC) systems, specifically driving the development of next-generation AI accelerator boards. The engineer will be responsible for schematic capture, component selection, high-speed interface design, power delivery design, and lab bring-up and debugging of these boards. The role involves cross-functional collaboration with various engineering teams to bring products from concept to mass production. | — | 5 |
| Engineer Manager II, Annotations and Inference Platform Manager for a team of 11 Software Engineers focused on scaling Google's foundational storage infrastructure, specifically driving technical strategy for large-scale GCS object inference across different data formats. The role involves people management, technical leadership, and strategic execution within Google Cloud. | — | 5 |
| Technical Program Manager, Silicon Development Technical Program Manager for System on a Chip (SoC) development, focusing on edge-AI products with distributed inference technology for real-time systems. The role involves managing complex, multi-disciplinary projects from concept to production, collaborating with various engineering teams, and driving technical decisions, schedules, and risk management. | Serve | 5 |
| Senior Master Technician, Humanoids, DeepMind This role is for a Senior Master Technician on the Embodied Systems team at Google DeepMind Robotics, focusing on the hardware operations and maintenance of humanoid robots. The technician will be responsible for translating schematics into service manuals, acting as Tier 3 support for critical failures, leading technical onboarding for contractors, providing feedback to R&D for hardware improvements, and performing precision tasks like IMU alignment and calibration. The role is ground-floor, contributing to the processes and products of a new hardware-centric group aimed at accelerating AI research in the physical domain. | — | 5 |
| AI Sales Specialist This role focuses on growing Google's AI business by building and expanding customer relationships, demonstrating product functionality, and identifying business use cases. The AI Sales Specialist will work with customers to deliver business value and help them build new products leveraging Google's AI solutions, while also managing day-to-day relationships with cross-functional teams and external customers. | — | 5 |
| Staff Software Engineer, YouTube Data Science Staff Software Engineer on the YouTube Data Science team, responsible for influencing product and engineering leadership through data science. The role involves developing projects, collaborating across teams, and using AI tools like Gemini to support data-driven initiatives. Key responsibilities include aligning teams, managing project priorities, designing and deploying software solutions, and supporting data engineering needs. | — | 5 |
| SoC Security Architect, Google Cloud Silicon This role focuses on the security architecture of custom silicon for Google Cloud's Edge-Artificial Intelligence products. The primary responsibility is to define and implement hardware security primitives and countermeasures against physical and logical attacks to protect AI accelerators and sensitive information. The role involves working with distributed inference technology and ensuring the security and impenetrability of hardware for edge AI. | — | 5 |
| Senior Software Engineer, Information Security Engineering Senior Software Engineer role focused on developing tools and systems for product security, with a specific emphasis on AI agents. The role involves designing and implementing Go and Python AI agents, building features on internal systems, and contributing to technical roadmaps. Experience with AI and security assessments is preferred. | Agent | 5 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Senior Quantitative UX Researcher, Merchant Shopping This role is for a Senior Quantitative UX Researcher focused on understanding user behaviors and needs for merchant shopping products. The role involves conducting primary research, analyzing data, and developing metrics to influence product strategy. A key aspect is developing AI-integrated workflows for UXers and leveraging AI/ML knowledge to inform research. The role is not directly building AI models but uses AI/ML concepts and tools. | — | 5 |
| Software Engineer II, Business Mobile App, Google Pay Software Engineer II for Google Pay for Business, focusing on empowering SMBs with intuitive tools. The role involves designing, developing, testing, deploying, and maintaining mobile software (user-facing apps and server-side APIs) using Flutter. It emphasizes collaboration with product managers and designers, writing high-quality code, and advocating for product excellence. The team uses AI tools to enhance development workflows and ensure complex technology feels simple for merchants. The role is within the Payments team, focused on making payments simple, seamless, and secure. | — | 5 |
| Hardware System Architect, Pixel Watch This role is for a Hardware System Architect for Google's Pixel Watch, focusing on defining and implementing the hardware architecture for wearable products to enable ambient and edge computing applications. The architect will ensure subsystems meet performance, power, and cost goals, and will analyze data processing paths and associated hardware, silicon, and software solutions. The role involves collaboration with internal teams and external partners, and investigating emerging technologies for future products. While the role touches on AI/ML for on-device processing and AI accelerators, its core focus is hardware system architecture for consumer electronics, not AI model development. | — | 5 |
| Content Strategist, gUP Content Product Strategy This role focuses on developing and managing content strategy for user support across various channels, including AI-driven tools and agent knowledge bases. The Content Strategist will ensure the creation and delivery of accurate, high-quality content, collaborate with stakeholders, and monitor content performance. A key aspect involves working with AI-enabled content creation tools, providing feedback for their improvement, and staying updated on best practices for AI consumption of information. | — | 5 |
| Product Manager, YouTube Ads Product Manager for YouTube Ads, focusing on driving AI adoption and implementing AI-powered creative automation experiences for advertisers. This role involves cross-functional leadership, guiding products from conception to launch, and scaling advertiser guidance initiatives. | — | 5 |
| Senior Technical Program Manager, AI Quality, Search Intelligence Google is seeking a Senior Technical Program Manager for its Search Intelligence group, focusing on AI Quality for next-generation AI experiences in Search. The role involves leading high-priority programs, driving collaboration, applying technical judgment to navigate trade-offs, and streamlining operational processes. The ideal candidate will have a strong background in program management and machine learning/AI, with experience in quality evaluation and R&D components. | — | 5 |
| Senior Reward Lead, DeepMind This role focuses on designing and delivering reward programs for AI talent at Google DeepMind. While the company is a leading AI lab and the role involves advising on AI talent strategy and using AI tools, the core function is HR/Reward, not building AI models or systems. | — | 5 |
| Solutions Consultant, Google for Education This role is a Solutions Consultant for Google for Education, focusing on integrating Google's tools, including AI-powered ones like Gemini, into educational institutions. The role involves direct sales, technical advocacy, customer requirement analysis, solution design, and presenting product demonstrations. While AI tools are used and promoted, the core function is not building or researching AI models but rather applying them within an educational product context. | — | 5 |
| Product Solutions and Operations Manager, Google Play Store This role focuses on managing and scaling solutions for the Google Play Store, utilizing human insights and machine learning. The core responsibilities involve designing and owning human computation tasks for data labeling, collaborating with cross-functional teams to launch features, and ensuring the quality and reliability of data streams that feed into ML models and product decisions. The role emphasizes data quality, operational improvements, and staying updated on data labeling methods, including LLM-first solutions. | — | 5 |
| Senior Software Engineer, App Hub Google Cloud Platform (GCP) and App Hub are looking for a Senior Software Engineer to help deliver an AI-driven, application-focused perspective of GCP infrastructure. This role will abstract infrastructure primitives to boost productivity for platform operators, application developers, and operators through more efficient development, deployment, and DevOps workflows. The team manages the complete App Hub interface, ensuring a seamless experience for application-centric observability, manageability, and governance, including performance monitoring and policy management. The role will contribute to GCP's strategy for an application-centric, AI-powered cloud and involve the development and maintenance of essential components of the Application Platform architecture. | — | 5 |
| Finance Analyst, AI Cloud Product Finance This role supports the finance team for Google's AI Cloud products. The analyst will partner with engineering, TI, and PM to analyze the performance and TCO of AI product SKUs, forecast customer demand and profitability, and develop cost insights for new product introductions. The role requires experience in financial planning and analysis, with a preference for knowledge of Google's technical infrastructure and AI/ML economics. | — | 5 |
| Product Manager II, Gemini in Chrome, Discovery and User Adoption Product Manager for Gemini in Chrome, focused on driving user growth and adoption of an AI-powered browsing assistant. This role involves owning the top-of-funnel experience, acquisition, and onboarding, working at the intersection of product, growth marketing, and data science to scale user engagement and conversion for AI features within Chrome. | — | 5 |
| Staff Software Engineer, Load Balancing and Agent Gateway Staff Software Engineer role focused on designing and leading feature development for the GKE Agent Gateway, enhancing capabilities for AI/ML workloads and contributing to the Kubernetes open-source project. The role involves collaboration with Load Balancing teams, ensuring optimal routing, load balancing, and autoscaling for inference serving, and improving observability, testability, and reliability of the Inference Gateway. | Serve | 5 |